CN109935000A - A kind of method and system for screening electric car - Google Patents
A kind of method and system for screening electric car Download PDFInfo
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- CN109935000A CN109935000A CN201711358379.3A CN201711358379A CN109935000A CN 109935000 A CN109935000 A CN 109935000A CN 201711358379 A CN201711358379 A CN 201711358379A CN 109935000 A CN109935000 A CN 109935000A
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Abstract
A method of screening electric car, which comprises determine the possibility wheelpath of user；Obtain History Order；Based on the History Order, training obtains electric quantity consumption model, the relationship between the electric quantity consumption model reflection wheelpath and electric car power consumption；Possibility wheelpath and the electric quantity consumption model based on the user, prediction travel the power consumption of the possibility wheelpath of the user；The electric car for meeting user demand is screened and/or shown based on the power consumption.Method provided by the present application can be predicted to travel specific wheelpath electric car power consumption, the electric car for meeting user demand is filtered out according further to the power consumption, greatly improves user experience.
Description
Technical field
It is the present invention relates to technical field of data processing, in particular to a kind of that the method for electric car is screened according to History Order and is
System.
Background technique
With the rapid development of urban transportation and becoming increasingly abundant for the vehicles, convenient and comfort requirement of the people to trip
It is higher.One of the important selection that shared motor bicycle is gone on a journey as people shows the extension with service to its information of vehicles hommization
It is particularly important.Wherein, the hommization of information of vehicles shows to include showing the state of vehicle in a manner of facilitating and be clear to and riding
Row information, such as: the existing electricity of vehicle, riding track, remaining rideable milimeter number estimation.
The service that hommization based on information of vehicles is shown is extended, and is not to be only that user provides information of vehicles, is more provided
Flexibly use the value-added service of these information, such as it is contemplated that according to bicyclist to the service condition of motor bicycle and bicyclist
Health status is associated, before user not yet selected motor bicycle, just knows the letter of available motor bicycle in advance
Breath, including location information and cruising ability information etc..
Summary of the invention
For the power consumption that cannot calculate certain wheelpath of traveling in the prior art, and then it cannot screen to meet for user and use
The problem of electric car of family demand, the purpose of the present invention is to provide a kind of methods that screening meets the electric car of user demand, are based on
History Order training obtains electric quantity consumption model, and the power consumption of certain wheelpath is travelled according to the electric quantity consumption model prediction,
Then the electric car for meeting user demand is provided according to the power consumption for user.
In a first aspect, the present invention discloses a kind of methods for screening electric car.This method comprises: determining the possibility driving of user
Track；Obtain History Order；Based on the History Order, training obtains electric quantity consumption model, the electric quantity consumption model reflection
Relationship between wheelpath and electric car power consumption；Possibility wheelpath and the electric quantity consumption model based on the user,
Prediction travels the power consumption of the possibility wheelpath of the user；It is screened and/or is shown based on the power consumption and meet user's need
The electric car asked.
In some embodiments, the method further includes: monitor user heart rate, user consumption energy and user
At least one of step number.
In some embodiments, the method further includes: determine the characteristic information of user, Weather information and electric car
At least one of characteristic information；In the characteristic information of characteristic information, Weather information and electric car based on the user at least
The possibility wheelpath of a kind of, the described user and the electric quantity consumption model, prediction travel the possibility wheelpath of the user
Power consumption.
In some embodiments, the possibility wheelpath of the determining user includes: to obtain the starting point of user；And/or it obtains
Take or predict the terminal of user；According to the starting point of the user and/or the terminal of the user, the possibility row of the user is determined
Wheel paths.
In some embodiments, described to be based on the History Order, it includes: described in extraction that training, which obtains electric quantity consumption model,
History Order track, history power consumption, the characteristic information of historical user, weather history information and history electric car in History Order
Characteristic information；Obtain electric quantity consumption initial model；Based on the History Order track, history power consumption, historical user spy
The characteristic information and the electric quantity consumption initial model of reference breath, weather history information, history electric car, training obtain the electricity
Consumption models.
In some embodiments, the characteristic information of the historical user includes weight, riding speed and the habit of riding of user
At least one of be used to.
In some embodiments, the characteristic information of the history electric car is the model and/or history electric car of history electric car
Batch.
Second aspect, the present invention discloses a kind of systems for screening electric car.The system comprises determining that module, model training
Module, power consumption prediction module and screening module.The determining module is used to determine the possibility wheelpath of user；The model
Training module is based on the History Order for obtaining History Order, and training obtains electric quantity consumption model, the electric quantity consumption
Model reflects the relationship between wheelpath and electric car power consumption；The power consumption prediction module for based on the user can
Energy wheelpath and the electric quantity consumption model, prediction travel the power consumption of the possibility wheelpath of the user；The screening
Module is used to that the electric car for meeting user demand to be screened and/or shown based on the power consumption.
The third aspect, the present invention discloses a kind of computer readable storage mediums.The storage medium storage computer refers to
It enables, the computer instruction executes screening electric car method when running.
Fourth aspect, the present invention discloses a kind of devices for screening electric car.Described device includes screening the program of electric car, institute
State the method that the screening electric car is executed when the program operation of screening electric car.
Compared with prior art, beneficial effects of the present invention performance is as follows:
One, electric quantity consumption model, the electric quantity consumption model reflection wheelpath and electricity are obtained by History Order training
Relationship between vehicle power consumption.
Two, the power consumption of certain wheelpath is travelled according to the electric quantity consumption model prediction that training obtains, and then is sieved for user
Be full the electric car of sufficient user demand, improves user experience.
Detailed description of the invention
Fig. 1 is the application scenarios schematic diagram for the electric car screening system that technical solution of the present invention provides；
Fig. 2 is the block diagram of the exemplary computer device of the dedicated system for realizing technical solution of the present invention；
Fig. 3 is the block diagram of the EXEMPLARY MOBILE DEVICE of the dedicated system for realizing technical solution of the present invention；
Fig. 4 is the structural frames for the exemplary electric car screening plant that some implementations of technical solution according to the present invention exemplify
Figure；
Fig. 5 be some implementations of technical solution according to the present invention exemplify for screening the electric car for meeting user demand
Exemplary flow diagram；
Fig. 6 be some implementations of technical solution according to the present invention exemplify determine electricity for realizing electric car screening system
The exemplary flow diagram of consumption models.
Specific embodiment
In order to illustrate more clearly of the technical solution of embodiments herein, will make below to required in embodiment description
Attached drawing is briefly described.It should be evident that the accompanying drawings in the following description is only some examples or implementation of the application
Example, for those of ordinary skill in the art, without creative efforts, can also be according to these attached drawings
The application is applied to other similar scenes.Unless being explained obviously or separately, identical label generation in figure from language environment
The identical structure or operation of table.
As shown in the application and claims, unless context clearly prompts exceptional situation, " one ", "one", " one
The words such as kind " and/or "the" not refer in particular to odd number, may also comprise plural number.It is, in general, that term " includes " only prompts to wrap with "comprising"
Include clearly identify the step of and element, and these steps and element do not constitute one it is exclusive enumerate, method or apparatus
It may also include other step or element.
Although the application in system according to an embodiment of the present application certain module or unit be made that various references,
However, any amount of disparate modules or unit can be used and be operated on client and/or server.The module is only
It is illustrative, and disparate modules can be used in the different aspect of the system and method.
Flow chart used herein is used to illustrate operation performed by system according to an embodiment of the present application.It should
Understand, before or operation below not necessarily accurately carry out in sequence.On the contrary, can be handled according to inverted order or simultaneously
Various steps.It is also possible to during other operations are added to these, or remove a certain step from these processes or count step behaviour
Make.
Embodiments herein can be applied to different transportation systems, and different transportation systems includes but is not limited to land
The combination of one or more of ground, ocean, Aeronautics and Astronautics etc..For example, taxi, special train, windward driving, bus, generation drive, fire
Vehicle, motor-car, high-speed rail, ship, aircraft, fire balloon, the unpiloted vehicles, receive/send express delivery etc. and apply management and/or point
The transportation system matched.The different embodiment application scenarios of the application include but is not limited to webpage, browser plug-in, client, determine
The combination of one or more of system processed, enterprises analysis system, artificial intelligence robot etc..It should be understood that this
The application scenarios of the system and method for application are only some examples or embodiment of the application, for the ordinary skill of this field
For personnel, without creative efforts, the application can also be applied to according to these attached drawings other similar
Scene.For example, other similar vehicle insurance early warning system.
" passenger " described herein, " customer ", " demand for services person ", " consumer ", " consumer ", " make " demander "
With demander " etc. can be interchanged, refer to needs or order service a side, can be individual, be also possible to tool.Together
Sample, " driver " described herein, " supplier ", " supplier ", " ISP ", " server ", " service side " etc.
It can be interchanged, the service of offer is provided or assists to provide individual, tool or other entities etc. of service.In addition, this Shen
The side that " user " that please be described can be the needs service of perhaps ordering is also possible to provide service or assists to provide service
One side.
" electric car " described herein refers to using electric energy as power or the vehicles of major impetus, including but unlimited
In: electric car, motor bicycle, electric bus, hybrid electric vehicle, electric scooter etc..
Shown in FIG. 1 is a kind of example system configuration schematic diagram of electric car screening system.The electric car screening system can be with
The electric car for meeting user demand is filtered out, and then the electric car for meeting user demand is provided for user.Exemplary electric car screening system
100 may include electric car screening plant 110, consumer 130, memory 150, service side 140, network 120.
Electric car screening plant 110 can be used for carrying out the information of collection system of the analysis processing to generate analysis result.
In some embodiments, the available History Order of electric car screening plant 110 obtains electricity based on History Order training and disappears
Model is consumed, and meets the electric car of user demand based on the electric quantity consumption model discrimination.Electric car screening plant 110 can be one
Server is also possible to a server farm.The server farm can be centralization, such as data center.It is described
Server farm is also possible to distributed, a such as distributed system.Electric car screening plant 110 can be it is local,
It can be long-range.
Electric car screening plant 110 may include electric car Filter Engine 112.The electric car Filter Engine 112 can be used for holding
The instruction (program code) of row electric car screening plant 110.For example, electric car Filter Engine 112 is able to carry out electric car screening sequence
Instruction, and then the electric car for meeting user demand is provided for user.The electric car screening sequence can be in the form of computer instruction
It is stored in computer readable storage medium (for example, memory 150).
Network 120 can provide the channel of information exchange.In some embodiments, electric car screening plant 110 can pass through
Network 120 exchanges information with consumer 130, service side 140 and/or memory 150.For example, electric car screening plant 110 can lead to
It crosses network 120 and sends information (for example, the number for meeting the electric car of user demand is provided) to 130/ service side 140 of consumer.Net
Network 120 can be single network, be also possible to multiple network combination.Network 120 can include but is not limited to local area network, wide area
One in net, common network, dedicated network, WLAN, virtual network, city Metropolitan Area Network (MAN), public switch telephone network etc.
Kind or several combinations.Network 120 may include multiple network access point, such as wired or wireless access point, base station (such as 120-1,
120-2) or network exchange point, so that data source is connected network 120 by the above access point and information is sent by network.
Consumer 130 refers to individual (for example, user), tool or other entities of issuing service order.Consumer 130
Including but not limited to desktop computer 130-1, laptop 130-2, the built-in device 130-3 of motor vehicle, mobile device 130-4
Deng one or more of combination.
Service side 140 is individual (for example, driver), tool (for example, electric car) or other entities for executing Service Order.
Service side 140 includes but is not limited to desktop computer 140-1, laptop 140-2, the built-in device 140-3 of motor vehicle, movement
The combination of one or more of equipment 140-4 etc..Electric car screening plant 110 can directly access access and be stored in memory
150 data information can also directly pass through the information of the access access user 130/140 of network 120.
Memory 150 can refer to the equipment with store function.Memory 150 is mainly used for storage from consumer 130
And/or the various data generated in the data and the work of electric car screening plant 110 of the collection of service side 140.Memory 150 can be
Local, it is also possible to long-range.The connection or communication of system database and other intermodules of system can be it is wired, can also
To be wireless.
In order to describe the application scenarios of electric car screening system 100, it is described below only as example.Consumer 130 (user)
The Service Order of publication indicates oneself to need to go to Shanghai City Nanjing Road Walk Way using shared motor bicycle.At this point, electric car sieves
Screening device 110 has received the Service Order by network 120, is calculated analytically to provide for user and meets user demand
Motor bicycle information.User has received the motor bicycle information by network 120, is selected according to the motor bicycle information corresponding
Service side 140 (motor bicycle), the motor bicycle of then riding is to Shanghai City Nanjing Road Walk Way.
Fig. 2 is the block diagram of the exemplary computer device 200 of the dedicated system for realizing technical solution of the present invention.Such as Fig. 2
Shown, calculating equipment 200 may include processor 210, memory 220, input/output interface 230 and communication port
240。
Processor 210 can execute computations (program code) and execute the electric car screening system 100 that the present invention describes
Function.The computations may include that (function refers to for programs, objects, component, data structure, process, module and function
Specific function described in the present invention).It is ordered for example, processor 210 can handle from the history that electric car screening system 100 obtains
It is single, and electric quantity consumption model is obtained based on History Order training.In another example what processor 210 can be obtained based on training
Electric quantity consumption model and the possible wheelpath of user, filter out the electric car for meeting user demand, and then provide for user described
Electric car.In some embodiments, processor 210 may include microcontroller, microprocessor, Reduced Instruction Set Computer
(RISC), specific integrated circuit (ASIC), using specific instruction set processor (ASIP), central processing unit (CPU), graphics process
Unit (GPU), physical processing unit (PPU), micro controller unit, digital signal processor (DSP), field programmable gate array
(FPGA), advanced risc machine (ARM), programmable logic device and any circuit and the place that are able to carry out one or more functions
Device etc. is managed, or any combination thereof.Only for explanation, the calculating equipment 200 in Fig. 2 only describes a processor, but needs to infuse
It can also include multiple processors that is anticipated, which is the calculating equipment 200 in the present invention,.
Memory 220 can store the data/information obtained from any other component of electric car screening system 100, for example,
History Order, user's origin information, user's endpoint information, user's characteristic information, Weather information, electric car characteristic information etc..One
In a little embodiments, memory 220 may include that mass storage, removable memory, volatibility read and write memory
With read-only memory (ROM) etc., or any combination thereof.Exemplary mass storage may include that disk, CD and solid-state are driven
Dynamic device etc..Removable memory may include flash drive, floppy disk, CD, storage card, compact disk and tape etc..Volatibility
Reading and writing memory may include random access memory (RAM).RAM may include dynamic ram (DRAM), Double Data Rate
Synchronous dynamic ram (DDR SDRAM), static state RAM (SRAM), thyristor RAM (T-RAM) and zero capacitance (Z-RAM) etc..ROM can
To include mask rom (MROM), programming ROM (PROM), erasable programmable ROM (PEROM), electrically erasable ROM
(EEPROM), CD ROM (CD-ROM) and digital versatile disc ROM etc..
Input/output interface 230 can be used for inputting or output signal, data or information.In some embodiments, defeated
Enter/output interface 230 can be used family (for example, consumer 130) and contacts with electric car screening system 100.In some implementations
In example, input/output interface 230 may include input unit and output device.Exemplary input device may include keyboard, mouse
Mark, touch screen and microphone etc., or any combination thereof.Exemplary output device may include display equipment, loudspeaker, printing
Machine, projector etc., or any combination thereof.Exemplary display devices may include liquid crystal display (LCD), based on light emitting diode
(LED) display, flat-panel monitor, flexible displays, television equipment, cathode-ray tube (CRT) etc., or any combination thereof.
Communication port 240 may be coupled to network so as to data communication.The connection can be wired connection, be wirelessly connected
Or both combination.Wired connection may include cable, optical cable or telephone wire etc., or any combination thereof.Wireless connection can wrap
Bluetooth, Wi-Fi, WiMax, WLAN, ZigBee, mobile network (for example, 3G, 4G or 5G etc.) etc. are included, or any combination thereof.One
In a little embodiments, communication port 240 can be standardized port, such as RS232, RS485.In some embodiments, communication ends
Mouth 240 can be the port specially designed.For example, communication port 240 can be according to digital imagery and medical communication agreement
(DICOM) it is designed.
Fig. 3 is the block diagram of the EXEMPLARY MOBILE DEVICE 300 of the dedicated system for realizing technical solution of the present invention.Such as Fig. 3
Shown, the mobile device 300 may include communications platform 310, display 320, graphics processor (GPU) 330, central processing
Device (CPU) 340, input/output interface 350, memory 360, memory 370 etc..In some embodiments, operating system 361
(e.g., iOS, Android, Windows Phone etc.) and application program 362 can be loaded into memory 360 from memory 370,
To be executed by CPU 340.Application program 362 may include browser or order for receiving history from electric car screening system 100
List, user's origin information, user's endpoint information, user's characteristic information, Weather information, electric car characteristic information or other relevant informations
Application program.
In order to realize various modules, unit and its function described in the present invention, calculating equipment or mobile device can be with
Hardware platform as one or more components described in the invention.These computers or the hardware element of mobile device, behaviour
It is conventional for making system and programming language substantially, and can fit these technologies after these technologies familiar to those skilled in the art
It should be in vehicle insurance early warning system described in the invention.Computer with user interface elements can be used to implement personal computer
(PC) or other kinds of work station or terminal device, if suitably programmed, computer can also act as server.
Fig. 4 is the structure for the exemplary electric car screening plant 110 that some implementations of technical solution according to the present invention exemplify
Block diagram.Electric car screening plant 110 may include: determining module 410, model training module 420, power consumption prediction module 430, sieve
Modeling block 440 and detection module 450.
Determining module 410, for determining the possible wheelpath of user.As an example, the available use of determining module 410
The starting point at family, acquisition/prediction user terminal, and the user is determined according to the terminal of the starting point of the user and the user
Possible wheelpath.In some embodiments, determining module 410 may include GPS positioning device.
Further, it is determined that module 410 can determine characteristic information, Weather information, the characteristic information of electric car of user etc..
The characteristic information of the user may include the weight of user, riding speed, habit of riding.The habit of riding may include riding
Whether scanning frequency degree is assisted using pedal in ride, is that selection is got off and cart or directly broken through when encountering barrier
Deng.The Weather information may include wind speed, rainfall, snow.The characteristic information of the electric car can reflect the configuration of electric car
(for example, battery, car body weight, degree of aging), the batch etc. of model, electric car including electric car.In some embodiments, it determines
Module 410 may include weight sensor, velocity sensor, pressure sensor etc..
Model training module 420 for obtaining History Order, and is based on the History Order, and training obtains electric quantity consumption
Model.The electric quantity consumption model can reflect wheelpath and/or the characteristic information and/or Weather information of user, and/or
Relationship between the specific information and electric car power consumption of electric car.
In some embodiments, the History Order may include the History Order of a specific user, i.e. model training
The electric quantity consumption model that the training of module 420 obtains can be adapted for one specific user.In some embodiments, described to go through
History order may include the History Order of multiple specific users, i.e., model training module 420 trains obtained electric quantity consumption model
It can be adapted for the multiple specific user.The multiple specific user may have similar user's characteristic information, such as institute
It is similar to state the weight of multiple specific users, habit of riding and/or riding speed.In some embodiments, the History Order can
To be the History Order of largely any users, i.e., the electric quantity consumption model that the training of model training module 420 obtains can be adapted for
A large amount of any users'.Historical track in the History Order of a large amount of any user can be identical, be also possible to not
With.
Power consumption prediction module 430, for based on the user possibility wheelpath and the electric quantity consumption model, in advance
Survey the power consumption for travelling the possibility wheelpath of the user.Further, power consumption prediction module 430 can be in conjunction with other letters
Breath prediction travels the possibility wheelpath of the user, for example, the characteristic information of the characteristic information of user, Weather information and electric car
Deng.Specifically, by the possibility wheelpath of user, the characteristic information of the user, Weather information and characteristic information of electric car etc.
The power consumption for travelling the possibility wheelpath of the user can be obtained in input of the information as electric quantity consumption model.
Screening module 450, for meeting the electric car of user demand based on power consumption screening.Specifically, power consumption is pre-
Survey module 430 can the power consumption and electric car remaining capacity, and then according to comparison result screening meet user demand
Electric car.Further, the screening module 450 can show the electric car for meeting user demand.
Monitoring modular 450, for monitoring the vital sign and/or health status of user.In some embodiments, mould is monitored
Block 450 can monitor the heart rate of user, energy, the step number of user of user's consumption etc..In some embodiments, the monitoring mould
Block 450 may include heart rate measurement unit (for example, photoelectricity heart rate sensor), 3-axis acceleration sensor, data processing unit.
The heart rate measurement unit can detecte the heart rate of user, and the 3-axis acceleration sensor can measure the step number of user, institute
State data processing unit can heart rate and/or user based on the user step number obtain user consumption energy.Some
In embodiment, monitoring modular 450 can by the information monitored by network (for example, network 120) be sent to user (for example,
Consumer 130).
Fig. 5 be some implementations of technical solution according to the present invention exemplify for realizing electric car screening system 100 for use
Family screening meets the exemplary flow diagram of the electric car of user demand.The process includes:
Step 510, determining module 410 can determine the possibility wheelpath of user.The possibility wheelpath of the user
It can be one or more of.In some embodiments, the beginning and end of the available user of determining module 410 is based on institute
State the possibility wheelpath that beginning and end determines the one or more of users.For example, determining module 410 can determine from
Origin-to-destination operating range longest or longer wheelpath are the possibility wheelpath of the one or more of users.Again
For example, determining module 410 can determine traveling frequency highest or higher wheelpath is the one or more of users
Possibility wheelpath.The traveling frequency highest or higher wheelpath can be for specific user, can also be directed to
Any user.
In some embodiments, the starting point of the available user of determining module 410 determines one or more based on the starting point
The possibility wheelpath of user described in item.For example, determining module 410 can based on the starting point selection traveling frequency highest or compared with
High wheelpath is the possibility wheelpath of the one or more of users.The traveling frequency highest or higher driving
The starting point of track is the starting point of the user.In another example the starting point of the available user of determining module 410, is based on the starting point
The one or more possible destinations of prediction, and then one or more is determined based on one or more of possible destinations
The possibility wheelpath of the user.Wherein it is determined that module 410 determines one or more possible purposes based on the starting point
Ground can be accomplished in several ways.Only as an example, determining module 410 can be according to the History Order of user (for example, rising
Point is the History Order of the starting point) the one or more of possible destinations of prediction.
Further, in step 510, determining module 410 can determine the characteristic information of user, Weather information, electric car
Characteristic information.The characteristic information of the characteristic information of the user, Weather information and electric car can be what user was manually entered, can also
To be that determining module 410 is obtained from other devices or server.For example, determining module 410 can be from user's registration information
The middle characteristic information for obtaining user, or obtained from sensor (for example, weight sensor, pressure sensor, velocity sensor)
The characteristic information of user.In another example determining module 41 can be from publication weather using upper acquisition Weather information.For another example really
Cover half block 410 can obtain the characteristic information of electric car from electric car management system platform.
Step 520, the available electric quantity consumption model of model training module 420.The electric quantity consumption model and user's
The correlations such as characteristic information of wheelpath, the characteristic information of user, Weather information, electric car.In some embodiments, the electricity
Consumption models can predict the electricity consumed required for travelling specific wheelpath electric car.Further, the electric quantity consumption mould
Type can predict that specific user travels the electricity of consumption required for specific wheelpath under particular weather using specific electric car.?
In some embodiments, the electric quantity consumption model can be obtained by the description of Fig. 6 training.
Step 530, power consumption prediction module 430 can be predicted described in traveling based on the possibility wheelpath of the user
The power consumption of the possibility wheelpath of user.Further, the power consumption module 430 can in conjunction with user characteristic information,
At least one of Weather information and the characteristic information of electric car, prediction travel the power consumption of the possibility wheelpath of the user.
Step 540, power consumption prediction module 430, which can be screened and/or be shown based on the power consumption, meets user demand
Electric car.In some embodiments, the remaining capacity of the available electric car of power consumption prediction module 430, the remaining electricity
Amount and the power consumption are then based on the electric car that comparison result screening meets user demand.For example, power consumption prediction module 430
It can choose the electric car that remaining capacity and the power consumption are closer to and be supplied to user.In another example power consumption prediction module can be with
The electric car that selection remaining capacity is greater than the power consumption is supplied to user.
In some embodiments, the screening module 440 can be full to show by sending prompting message directly to user
The electric car of sufficient user demand.The prompting message is the information for meeting the electric car of user demand or the mark of electric car, for example, electric car
Number, color, model etc..The prompt information may include text, voice, video, picture etc..In some embodiments,
The screening module 440 can make the electric car for meeting user demand response to the electric car that display meets user demand.It is described
Response may include bright light, whistle etc..
It should be noted that the possibility wheelpath of user described above may be one or a plurality of, correspondingly, power consumption
Measuring the power consumption that prediction module 430 is predicted may be one or more.So, screening module 440 can be based on one
Or multiple power consumption screenings meet the electric car of user demand.In some embodiments, the screening module 440 can determine described
Maximum power consumption in one or more power consumption, and the electric car for meeting user demand is screened based on the maximum power consumption.
It should be noted that in some embodiments, above-mentioned terminal may be a specific geographical location, for example,
Suzhou City, the road Xue Sen, high and new technology industrial development zone 9.Correspondingly, the distance of the possibility wheelpath of above-mentioned user can be one specific long
Degree, for example, 3 kms.So, the power consumption for the possibility wheelpath that the prediction of power consumption prediction module 430 travels the user can
To be a specific numerical value.In some embodiments, above-mentioned terminal may be a fuzzy geographical location, for example, Soviet Union
State city, the road Xue Sen, high and new technology industrial development zone.Correspondingly, the distance of the possibility wheelpath of above-mentioned user can be a fuzzy length, example
Such as, 2.8 kms to 3.2 kms.So, the prediction of power consumption prediction module 430 travels the consumption of the possibility wheelpath of the user
Electricity can be numberical range.In some embodiments, the screening module 440 can determine maximum in the numberical range
Power consumption is then based on the electric car that the maximum power consumption screening meets user demand.
In some embodiments, the process further comprises: monitoring the heart rate of user, the energy of user's consumption, user
Step number etc..Then, energy, the step number of user etc. the heart rate of the user, user consumed is sent to user.
Fig. 6 be some implementations of technical solution according to the present invention exemplify for realizing electric car screening system 100 determine
The exemplary flow diagram of electric quantity consumption model.The process includes:
Step 610, the available History Order of model training module 420.In some embodiments, model training module
The History Order of a 420 available specific users.In some embodiments, model training module 420 is available multiple
Specific user's.The multiple specific user may have similar user's characteristic information.In some embodiments, model training
The History Order of the available a large amount of any users of module 420.In some embodiments, model training module 420 is available
History Order in certain time.For example, model training module 420 it is nearest one month available, it is two months nearest, nearest three
A month equal History Order.
Step 620, model training module 420 can extract the History Order track in the History Order and history power consumption
Amount.Further, the model training module 420 can extract the characteristic information of the historical user in History Order, history day
At least one of gas information and the characteristic information of history electric car.
Step 630, the available electric quantity consumption initial model of model training module 420.The electric quantity consumption initial model
It may include one or more initial parameter.One or more of initial parameters are that the history in above-mentioned History Order is ordered
The power of the characteristic information of the characteristic information and/or weather history information and/or history electric car of single-track and/or historical user
Weight coefficient.
The electric quantity consumption initial model is machine learning initial model.In some embodiments, at the beginning of the electric quantity consumption
Beginning model may include decision tree, random forests algorithm, logistic regression, support vector machines (Support Vector Machine,
SVM), naive Bayesian, K nearest neighbor algorithm, K mean algorithm, Adaboost algorithm, neural network, Markov etc..
Step 640, model training module 420 can be based on the History Order track and history power consumption, and training obtains
Electric quantity consumption model.Further, the model training module 420 can be in conjunction with the characteristic information and/or history of historical user
The characteristic information of Weather information and/or history electric car, training obtain electric quantity consumption model.
Specifically, model training module 420 can continuously adjust electricity according to History Order track and history power consumption
Consume one or more initial parameter of initial model.Until loss function meets scheduled condition, training terminates, and obtains electricity
Measure consumption models.
Modules and unit as described above it is not necessary to, for those skilled in the art,
After solving teachings herein and principle, all may without departing substantially from this technology principle, structure, to the system carry out form and
Various modifications and variations in details, modules in any combination, or can constitute subsystem and connect with other modules, and this
A little modifications and variations are still within claims hereof protection scope.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The above is the basic conception of the application, is only presented in the form of embodiment, it should be apparent that, the technology of this field
Personnel make corresponding change, improvement or amendment according to the application.These variation, improve and amendment by the application imply or
It is proposed is connect, is all contained within the spirit or scope of the embodiment of the present application.
For describing the term of the application, such as " one embodiment ", " some embodiments " or " some embodiments ", indicate
At least one feature, structure or the feature being associated with are included among embodiments herein.
In addition, for those skilled in the art, the embodiment in the application may relate to some new processes,
Method, machine, product or the improvement being associated with.Therefore, embodiments herein can be in pure hardware or pure software
Implement, wherein software includes but is not limited to operating system, resident software or microcode etc.；It can also be at the same time comprising hardware and soft
Implement in " system " of part, " module ", " submodule ", " unit " etc..In addition, embodiments herein can be with computer program
Form exist, they can be carried in computer-readable medium.
Claims (10)
1. a kind of method for screening electric car, which is characterized in that the described method includes:
Determine the possibility wheelpath of user；
Obtain History Order；
Based on the History Order, training obtains electric quantity consumption model, the electric quantity consumption model reflection wheelpath and electric car
Relationship between power consumption；
Possibility wheelpath and the electric quantity consumption model based on the user, prediction travel the possibility driving rail of the user
The power consumption of mark；
The electric car for meeting user demand is screened and/or shown based on the power consumption.
2. the method according to claim 1, wherein the method further includes:
Monitor at least one of the heart rate of user, the energy of user's consumption and step number of user.
3. the method according to claim 1, wherein the method further includes:
Determine at least one of the characteristic information, Weather information and the characteristic information of electric car of user；
At least one of characteristic information of characteristic information, Weather information and electric car based on the user, the user can
Energy wheelpath and the electric quantity consumption model, prediction travel the power consumption of the possibility wheelpath of the user.
4. the method according to claim 1, wherein the possibility wheelpath of the determining user includes:
Obtain the starting point of user；And/or
Obtain or predict the terminal of user；
According to the starting point of the user and/or the terminal of the user, the possibility wheelpath of the user is determined.
5. training obtains electricity and disappears the method according to claim 1, wherein described be based on the History Order
Consuming model includes:
Extract History Order track in the History Order, history power consumption, the characteristic information of historical user, weather history letter
The characteristic information of breath and history electric car；
Obtain electric quantity consumption initial model；
Based on the History Order track, history power consumption, the characteristic information of historical user, weather history information, history electric car
Characteristic information and the electric quantity consumption initial model, training obtain the electric quantity consumption model.
6. according to the method described in claim 5, it is characterized in that, the characteristic information of the historical user includes the body of user
Weight, riding speed and at least one of habit of riding.
7. according to the method described in claim 5, it is characterized in that, the characteristic information of the history electric car is the type of history electric car
Number and/or history electric car batch.
8. a kind of system for screening electric car, which is characterized in that the system comprises: determining module, model training module, power consumption
Prediction module and screening module；
The determining module is used to determine the possibility wheelpath of user；
The model training module is based on the History Order for obtaining History Order, and training obtains electric quantity consumption model,
Relationship between the electric quantity consumption model reflection wheelpath and electric car power consumption；
The power consumption prediction module is used for possibility wheelpath and the electric quantity consumption model based on the user, prediction row
Sail the power consumption of the possibility wheelpath of the user；
The screening module is used to that the electric car for meeting user demand to be screened and/or shown based on the power consumption.
9. a kind of computer readable storage medium, which is characterized in that the storage medium stores computer instruction, the computer
The method that electric car is screened as described in claim 1-7 is any is executed when instruction operation.
10. a kind of device for screening electric car, which is characterized in that described device includes screening the program of electric car, the screening electric car
Program operation when execute as described in claim 1-7 is any screening electric car method.
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